Summary
Melissa Chen is a Business Intelligence Engineer with 13 years of experience, currently building data products at Amazon and teaching fairness and data-driven web application courses at Cornell. She blends strong analytical skills in Python, SQL, R, pandas, and Tableau with practical experience designing dashboards and defining KPIs that drive stakeholder decisions. Her background spans research at Cornell’s Social Media Lab—where she co-authored work for ACM CHI and crafted data-driven communication for vulnerable populations—to hands-on UI/UX design and web development. Melissa is comfortable moving projects from exploratory analysis and data engineering into polished visualizations and scalable dashboards. She is pursuing advanced studies in Information Science while mentoring students, reflecting a rare mix of production BI delivery, academic rigor, and design sensibility.
13 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Information Science, Minor in Statistical Science, Bachelor's degree, Information Science, Minor in Statistical Science at Cornell University